AI Sales Intelligence Analyst

F5

11d • $77,400 - $116,200 • Onsite

About The Position

F5 is seeking a builder-minded analytics professional to join its Sales Business Intelligence team and develop AI-powered analytics experiences for its global sales organization. The role combines data engineering, applied AI, and sales operations, with substantial collaboration across partner teams. The analyst will translate business questions into agents, semantic models, and data products, and explain the systems’ capabilities and limitations clearly.

The position helps design, build, and maintain conversational analytics agents that let sales leaders and executives ask natural-language questions about revenue, pipeline, and territory data. It also contributes to agent development and integrations across SharePoint, Salesforce, Snowflake, and Databricks using enterprise AI platforms, agent frameworks, and related tools. The role is located in Seattle, Washington; remote employees are not being considered.

The job description calls for a bachelor’s degree in a relevant field and typically 2–3 years of relevant experience, while also considering equivalent coursework, research, internships, or substantial personal AI projects. The role is suited to an early-career professional with hands-on LLM experience and strong communication and collaboration skills.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Statistics, Finance, Business Administration, or a related field.
• Typically 2–3 years of professional experience in data analytics, data engineering, analytics engineering, or applied AI/ML; equivalent combinations of relevant coursework, research, internships, or substantial personal AI-system projects are also considered.
• Hands-on experience building with LLMs, including prompt engineering, tool use or function calling, and retrieval-augmented generation, in a professional, academic, or substantive personal project setting.
• Strong written and verbal communication skills, including the ability to explain technical AI concepts clearly and concisely to non-technical audiences.
• Ability to present work, demos, and findings to peers and senior stakeholders, and occasionally executive leadership.
• Ability to produce clear documentation, enablement materials, and user-facing communications.
• Strong collaboration and relationship-building skills across sales, operations, finance, IT, and engineering.
• Ability to listen to ambiguous business problems, ask effective questions, and translate them into concrete technical scope.
• Comfort working under time constraints and iterating on ambiguous problems with guidance from more senior team members.
• Working understanding of enterprise AI and data governance, including access controls, PII handling, and responsible AI practices, or clear eagerness to learn.
• Solid SQL skills and working experience with a cloud data warehouse such as Snowflake, BigQuery, or Databricks.
• Proficiency in Python for data work and API integrations.
• Familiarity with at least one major cloud platform: Google Cloud, including Vertex AI or BigQuery, or Microsoft Azure, including Azure AD, Key Vault, or Logic Apps.
• Experience with a data visualization tool such as Tableau, Power BI, or Looker, and ability to present data clearly and accurately.
• Experience with Microsoft Office and collaborative tools such as SharePoint and Teams.

Nice To Haves

• Exposure to an agent framework such as Google’s Agent Development Kit (ADK), LangGraph, LangChain, Vertex AI Agent Builder, or Snowflake Cortex Agents.
• Familiarity with full-stack development, such as FastAPI or Next.js.
• Experience working with CRM or enterprise business data, such as Salesforce opportunity, forecasting, or territory data.
• Coursework or academic projects in AI, machine learning, or applied LLM systems.
• Hands-on experience building LLM or agent-based applications; professional, academic, or personal experience is strongly preferred.
• Experience supporting a sales, revenue operations, or comparable go-to-market organization.

Responsibilities

• Partner with Sales Operations, Finance, IT, and Sales Leadership to understand business questions and translate them into agents, tools, and semantic model extensions.
• Run working sessions, demonstrations, and user feedback loops to shape AI products and encourage adoption.
• Create executive-ready written materials, talking points, and demo narratives that explain AI systems in non-technical language.
• Build and maintain conversational AI agents addressing sales, pipeline, bookings, discounting, and territory questions.
• Contribute to new agent builds and integrations between enterprise AI platforms and SharePoint, Salesforce, Snowflake, and Databricks.
• Develop agent components using frameworks such as the Agent Development Kit (ADK), including analyst sub-agents, tools, and connectors to BigQuery, Snowflake, and Salesforce data.
• Author and iterate on YAML semantic models, retrieval pipelines, and vector search indexes grounded in governed sales data.
• Build and maintain data pipelines in Snowflake, Databricks, and BigQuery to supply agent tools, embeddings, and evaluation datasets.
• Contribute to evaluation of agent quality, routing accuracy, and response faithfulness, including maintaining regression test cases.
• Collaborate with IT and Security on security reviews, threat-modeling inputs, and production deployment of AI applications.
• Enable sales users through documentation, onboarding sessions, office hours, and day-to-day support.
• Identify data quality, integrity, and accessibility issues and support efforts to resolve them.
• Uphold F5’s Business Code of Ethics and promptly report violations of the Code or other company policies.
• Perform additional duties as assigned.

Benefits

• The role may include incentive compensation, a bonus, and restricted stock units.
• F5 offers benefits; details are available through the company’s careers benefits page.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level